Fault tolerant control using Gaussian processes and model predictive control
Type
Article
Change log
Authors
Yang, X
Maciejowski, JM
Abstract
jats:titleAbstract</jats:title> jats:p Essential ingredients for fault-tolerant control are the ability to represent system behaviour following the occurrence of a fault, and the ability to exploit this representation for deciding control actions. Gaussian processes seem to be very promising candidates for the first of these, and model predictive control has a proven capability for the second. We therefore propose to use the two together to obtain fault-tolerant control functionality. Our proposal is illustrated by several reasonably realistic examples drawn from flight control.</jats:p>
Description
Keywords
fault-tolerant control, Gaussian process, model predictive control, aircraft control, probabilistic modelling
Journal Title
International Journal of Applied Mathematics and Computer Science
Conference Name
Journal ISSN
1641-876X
2083-8492
2083-8492
Volume Title
25
Publisher
Walter de Gruyter GmbH
Publisher DOI
Sponsorship
European Commission (314544)
This research was supported by EU Framework
Programme 7, project 314544, RECONFIGURE:
Reconfiguration of Control in Flight for Integral Global
Upset Recovery, as well as the China Scholarship Council
and the Cambridge Overseas Trust.